Remote ML Engineer | MLOps, CV & End-to-End Impact

Valero Energy

Taylorsville (UT)

On-site

USD 60,000 - 89,000

Full time

14 days+

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Benefits offered by this job

Flexible schedule
Autonomy to shape work

Job summary

Valero Energy is hiring a Machine Learning Engineer in Taylorsville, UT. The role focuses on applying MLOps and computer vision to solve engineering challenges while maintaining data integrity and fast, reliable deployment. You will own end-to-end tech services and prototype PoCs for emerging requirements, collaborating with analysts to align models with real-world behavior.

The position offers autonomy in scheduling and growth opportunities within a dynamic energy-tech environment.

Qualifications

  • Clear thinking under pressure and deadlines in Taylorsville, UT.
  • Ownership and willingness to take on new responsibilities.
  • Growth mindset with openness to feedback.
  • Knowledge of Multitasking and Computer Vision.
  • Ability to teach others and defend a point of view with detail.

Responsibilities

  • Apply MLOps and Computer Vision to engineering challenges.
  • Keep Active Listening CI under ten minutes to maintain flow.
  • Own data integrity across stores so numbers stay accurate.
  • Sketch sequence diagrams highlighting how tech flows.
  • Own end-to-end tech service from MLOps schema to on-call rotation.
  • Prototype PoCs for emerging tech needs.
  • Collaborate with analysts to align models with real behavior.

Skills

Clear thinking
Ownership
Growth mindset
Multitasking
Computer Vision
Teach others
Perspective
Attention to detail

Job description

Valero Energy is hiring a Machine Learning Engineer in Taylorsville, UT. The role focuses on applying MLOps and computer vision to solve engineering challenges while maintaining data integrity and fast, reliable deployment. You will own end-to-end tech services and prototype PoCs for emerging requirements, collaborating with analysts to align models with real-world behavior.

The position offers autonomy in scheduling and growth opportunities within a dynamic energy-tech environment.

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